🔍 CLI优先语义代码搜索，带MCP集成

⚠️ 生产版本（v2.5.56）：稳定且积极维护。LanceDB 现为默认后端，提升性能和稳定性。

一款现代、快速且智能的代码搜索工具，通过语义分析和AST解析理解你的代码库。采用Python构建，LanceDB支持，旨在提升开发者生产力。

✨ 特色

🚀 核心能力

• 语义搜索：通过意义而非关键词来查找代码
• AST感知解析：理解代码结构（函数、类、方法）
• 多语言支持：13种语言 - Python、JavaScript、TypeScript、C#、Dart/Flutter、PHP、Ruby、Java、Go、Rust、HTML 和 Markdown/Text（具可扩展架构）
• 知识图谱：使用 KuzuDB 进行实体提取和关系映射的时序知识图谱（kg build、kg status、kg query）
• 交互式可视化：基于D3.js的可视化，支持5+视图（树状图、日落突变、力图、知识图谱、热力图）
• 开发叙事：用story命令（markdown、JSON、HTML输出）生成git历史叙述

MCP Vector Search

🔍 CLI-first semantic code search with MCP integration

⚠️ Production Release (v2.5.56): Stable and actively maintained. LanceDB is now the default backend for better performance and stability.

A modern, fast, and intelligent code search tool that understands your codebase through semantic analysis and AST parsing. Built with Python, powered by LanceDB, and designed for developer productivity.

✨ Features

🚀 Core Capabilities

• Semantic Search: Find code by meaning, not just keywords
• AST-Aware Parsing: Understands code structure (functions, classes, methods)
• Multi-Language Support: 13 languages - Python, JavaScript, TypeScript, C#, Dart/Flutter, PHP, Ruby, Java, Go, Rust, HTML, and Markdown/Text (with extensible architecture)
• Knowledge Graph: Temporal knowledge graph with KuzuDB for entity extraction and relationship mapping (kg build, kg status, kg query)
• Interactive Visualization: D3.js-powered visualization with 5+ views (Treemap, Sunburst, Force Graph, Knowledge Graph, Heatmap)
• Development Narratives: Generate git history narratives with story command (markdown, JSON, HTML output)
• Real-time Indexing: File watching with automatic index updates
• Automatic Version Tracking: Smart reindexing on tool upgrades
• Local-First: Complete privacy with on-device processing
• Zero Configuration: Auto-detects project structure and languages

🛠️ Developer Experience

• CLI-First Design: Simple commands for immediate productivity
• Rich Output: Syntax highlighting, similarity scores, context
• Fast Performance: Sub-second search responses, efficient indexing with pipeline parallelism (37% faster); IVF-PQ vector index delivers 4.9x faster queries (3.4ms vs 16.7ms)
• Modern Architecture: Async-first, type-safe, modular design
• Semi-Automatic Reindexing: Multiple strategies without daemon processes
• 17 MCP Tools: Comprehensive MCP integration for AI assistants (search, analysis, documentation, KG, story generation)
• Chat Mode: LLM-powered code Q&A with iterative refinement (up to 30 queries), deep search, and KG query tools
• CodeT5+ Embeddings: Code-specific embeddings via index-code command (Salesforce/codet5p-110m-embedding)

🔧 Technical Features

• Vector Database: LanceDB (serverless, file-based)
• Embedding Models: Configurable sentence transformers with GPU acceleration
• Smart Reindexing: Search-triggered, Git hooks, scheduled tasks, and manual options
• Extensible Parsers: Plugin architecture for new languages
• Configuration Management: Project-specific settings